• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.219-226
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• 2012

Recently real-estate investment business is standing out as a new plan for creation of source of income. In this paper, we suggested appropriate real-estate investment strategy through the reconstruct case study of existing one-storied building. That is, we showed the efficient process of decision and propel to reconstruct and the key points for lease business and post management after building completion. Also, we analyzed the rate of return of commercial building investment in order to find its optimum dealing time. Therefore the results of this paper are expected to be a help to old ages and persons laying plans for a similar business.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5465-5475
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• 2013

In this study, when to invest in real estate abroad, to present a real option in the way of decision-making. Thus, by using the binomial option model of one of the real thing and DCF, we compared the choice of real estate investment in China and South Korea. Research concerns the real estate market of Shanghai and Seoul, Analyzed the data between 2001-2009. Results were calculated NPV investment period (Net Present Value), Seoul appears in 435.44, Shanghai was 398.26. Investment decision by NPV method will select Seoul. However, as a result of calculating the value using the real option, it was found that for Seoul appear in 615.4, Shanghai has been shown to 626.1, and is suitable for investment in Shanghai. Assuming on the basis of this, that it has invested in practice, and compare the results, Seoul is intended for since 2010, real estate prices fell to 2013 currently, damage has occurred, profit's occurred Shanghai. This ensures that when making decisions in real estate investment and to use the real option than the existing DCF is appropriate.

• International Area Studies Review
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• v.15 no.3
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• pp.263-283
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• 2011

As China has achieved continuous high growth, innovative housing system and rapid growth of housing finance for thirty years since its reforming and opening, Chinese real estate industry has developed rapidly, investment in real estate has increased remarkably and price of real estate has increased continuously. In particular, as China joined WTO in 2001, overseas companies have expanded investment in Chinese real estate market with chances of potential profit. Recently, management of foreign capital real estate companies has expanded from housing to office buildings and luxury shops. Besides, management has expanded from real estate development to various tasks such as management, brokerage service, lease management and financial investment. In order to measure relationship between FDI in Chinese real estate and Chinese housing price, this document utilizes not only various data such as housing price, FDI to real estate, domestic loan of real estate, interest rate and exchange rate in 35 major cities across China but also previous researches to set an empirical analysis model and analyze effects of foreigners' direct investment in Chinese real estate on Chinese housing price.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.216-233
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• 2004

The real estate management includes not only the brokerage, property management, development, investment and consulting which are related to real estate handling, but also the human resources who deal with the real estate business. The level of management quality of Korean real estate business is rather poor. This paper deals with management innovation of real estate management using Six Sigma methodology The main focus of this Paper is to develop strategy Planning, and is to select critical success factors for each strategy to make an advanced management system for real estate business. This paper is a case study, and the target company for this innovation is ERA-Korea Company. Seven strategies are proposed, and for each strategy several critical success factors are suggested. Through this case study, the authors hope that a management quality model for real estate business is proposed, and an improved management method can be adopted in the other real estate companies.

• Knowledge Management Research
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• v.23 no.1
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• pp.27-46
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• 2022

The current era's focus is on the surge in real estate prices triggered by the global economic downturn. This study advocated STO-based dispersed investment for the MZ generation, who has less capital than earlier generations. Existing real estate investment methods were categorized into online, offline, and hybrid formats and the effectiveness of the suggested STO was given in this study through case analysis domestically and overseas. The entry of STO into the financial industry was positively proved, and the efficacy of blockchain technology was validated, through the investigation of the STO framework. The findings of this study are projected to revitalize the new real estate sector by actively supporting the access of the MZ generation into the current inflexible real estate investment market by the application of blockchain and reflecting MZ generation's investment propensity.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.3
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• pp.499-503
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• 2013

In the real estate industry, job creation is dominated by SOC financial investment expansion. Financial investment like SOC can induce employment only if is executed as cost of equipment by setting the budget as a long-term project. In this study, a hypothesis was set regarding how the real estate industry affects job creation, and makes suggestions based on analysis of relational structure among variables through the research model.

• The Journal of Information Systems
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• v.29 no.3
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• pp.119-144
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• 2020

Purpose Real estate usually takes charge of the highest proportion of physical properties which individual, organizations, and government hold and instability of real estate market affects the economic condition seriously for each economic subject. Consequently, practices for predicting the real estate market have attention for various reasons, such as financial investment, administrative convenience, and wealth management. Additionally, development of machine learning algorithms and computing hardware enhances the expectation for more precise and useful prediction models in real estate market. Design/methodology/approach In response to the demand, this paper aims to provide a framework for forecasting the real estate market with machine learning algorithms. The framework consists of demonstrating the prediction efficiency of each machine learning algorithm, interpreting the interior feature effects of prediction model with a state-of-art algorithm, LIME(Local Interpretable Model-agnostic Explanation), and comparing the results in different cities. Findings This research could not only enhance the academic base for information system and real estate fields, but also resolve information asymmetry on real estate market among economic subjects. This research revealed that macroeconomic indicators, real estate-related indicators, and Google Trends search indexes can predict real-estate prices quite well.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.3
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• pp.633-642
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• 2018

Solar power plants are rapidly spreading, and various design, development, construction and maintenance related technologies and corporations coexist. In addition to private real estate development, they are also profitable in various forms such as building facilities, land, And continues to operate. In this paper, however, we have reviewed and studied the economic feasibility of photovoltaic power generation system based on the investment of off - the - shelter and mall investment, which is a generalized form of real estate asset management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.657-665
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• 2016

This study analysed how real estate investor's preference influences the investment satisfaction and re-investment intention. For the study, the investment preference was analysed using the PLS Structural Equation Model. The profitability and safety among the investment behavioral factors influenced the investment satisfaction the most. The facility characteristics among the investment behavioral factors influenced the investment satisfaction slightly. Finally, the investment satisfaction among the investment preferences influenced the re-investment intention mainly.

• Korean Journal of Construction Engineering and Management
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• v.19 no.2
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• pp.96-106
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• 2018

The government adopted activation policy of real estate to overcome low economic growth rate. Real estate activation plan adopted by the government raised credit limit by lowering the regulation, and reduced real estate investment cost by reducing the base rate. Also, delayed transfer tax on multi-house owner to activate real estate investment and resolved purchase right resale. Relief of real estate regulate caused increase of housing sales and price increase, and the real estate market changed to overheating aspect such as premium upon completion of lot sale in a short time. Such market atmosphere greatly increased household debs as owners own houses based on 'financial debt' instead of their income. Since 2017, real estate policy was reinforced to reduce household debts and lending rate was raised due to rise of base rate, accordingly, burden of household debt is expected to increase. This research suggested a plan for the Financial Supervisory Service to efficiently manage the financial world by analyzing the cause and problem of household debs.